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Now showing items 11-20 of 40
Design automation and QoS requirements preservation for multiprocessor embedded systems
(2019-07-01)
The number of processors is increasing in embedded systems but the usefulness of parallel computation is not better leveraged due to the inflexibility of design and implementation for multiprocessor embedded system ...
Design and development of a parallel Proof of Work for permissionless blockchain systems
(2019-04-01)
Blockchain, which is the underlying technology for the Bitcoin cryptocurrency, is a distributed ledger forming a decentralized consensus in a peer-to-peer network. A large number of the current cryptocurrencies use blockchain ...
Customized topology optimization for additive manufacturing
(2019-08-01)
One of the biggest limitations of additive manufacturing (AM) is the resulting production times. Due to the layer-based method of material deposition, the time to produce a single part is substantial compared to techniques ...
Design and development of hydrophobic and protective polymer-based spray coatings for treating glass surfaces in building and automotive applications
(2019-08-01)
Glass surfaces in buildings and vehicles are susceptible to two common problems: unrestricted energy transmittance of light-waves resulting in increased HVAC costs, and reduced visibility as a consequence of wetting during ...
Active transport and concentration of analytes in microfluidic paper based analytical devices using ion concentration polarization
(2019-04-01)
Microfluidic paper-based analytical devices (µPADs) have a high potential for miniaturizing complex testing functions, since they are inexpensive, disposable, and portable. Paper has the advantage over traditional fluid ...
Time-efficient offloading and execution of machine learning tasks between embedded systems and fog nodes
(2019-12-01)
As embedded systems become more prominent in society, it is important that the technologies that run on them must be used efficiently. One such technology is the Neural Network (NN). NN's, combined with the Internet of ...
Deep learning methods applied to anomaly detection in vehicle manufacturing and operations
(2019-09-01)
As one of the most common modes of transportation, vehicles are very closely related to our lives. As a result, safety is an important issue in both vehicle production process and vehicle operations. Recently, unmanned ...
Proposing an ensemble-based model using data clustering and machine learning algorithms for effective predictions
(2019-08-01)
One of the most important tasks in machine learning is prediction. Data scientists use various regression methods to find the most appropriate and accurate model applicable for each type of datasets. This study proposes a ...
Development of active trailer steering systems for pickup truck-trailer combinations
(2019-08-01)
Lateral dynamics of articulated vehicles continue to remain a subject of concern in the design of safety systems. Vehicle-trailer combinations tend to exhibit low lateral stability and poor maneuverability, especially under ...
Influence of forced convection on sessile droplet evaporation
(2019-04-01)
Evaporation is a phase change process with potential for achieving large heat transfer rates under high air temperatures due to the latent heat of vaporization. Bioin-spired artificial perspiration systems can leverage the ...